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29 Feb 2008TL;DR: In this paper, a single microphone noise estimate is derived from the primary and secondary acoustic signals, and a combined noise estimate based on the single and dual microphone noise estimates is then determined.
Abstract: Systems and methods for providing single microphone noise suppression fallback are provided. In exemplary embodiments, primary and secondary acoustic signals are received. A single microphone noise estimate may be generated based on the primary acoustic signal, while a dual microphone noise estimate may be generated based on the primary and secondary acoustic signals. A combined noise estimate based on the single and dual microphone noise estimates is then determined. Using the combined noise estimate, a gain mask may be generated and applied to the primary acoustic signal to generate a noise suppressed signal. Subsequently, the noise suppressed signal may be output.
145 citations
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29 Jan 2007TL;DR: In this article, an inter-microphone level difference (ILD) was used to attenuate noise and enhance speech. But the ILD was not used to enhance the speech of the primary acoustic signal.
Abstract: Systems and methods for utilizing inter-microphone level differences (ILD) to attenuate noise and enhance speech are provided. In exemplary embodiments, primary and secondary acoustic signals are received by omni-directional microphones, and converted into primary and secondary electric signals. A differential microphone array module processes the electric signals to determine a cardioid primary signal and a cardioid secondary signal. The cardioid signals are filtered through a frequency analysis module which takes the signals and mimics a cochlea implementation (i.e., cochlear domain). Energy levels of the signals are then computed, and the results are processed by an ILD module using a non-linear combination to obtain the ILD. In exemplary embodiments, the non-linear combination comprises dividing the energy level associated with the primary microphone by the energy level associated with the secondary microphone. The ILD is utilized by a noise reduction system to enhance the speech of the primary acoustic signal.
144 citations
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21 Mar 2012TL;DR: In this article, a primary acoustic signal is received and a speech distortion estimate is determined based on the primary acoustic signals, which is then used to derive control signals which adjust an enhancement filter.
Abstract: Systems and methods for adaptive intelligent noise suppression are provided. In exemplary embodiments, a primary acoustic signal is received. A speech distortion estimate is then determined based on the primary acoustic signal. The speech distortion estimate is used to derive control signals which adjust an enhancement filter. The enhancement filter is used to generate a plurality of gain masks, which may be applied to the primary acoustic signal to generate a noise suppressed signal.
129 citations
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TL;DR: In this article, the authors proposed a method for utilizing inter-microphone level differences to attenuate noise and enhance speech. But the method is not suitable for high-level speech.
Abstract: Systems and methods for utilizing inter-microphone level differences to attenuate noise and enhance speech are provided. In exemplary embodiments, energy estimates of acoustic signals received by a primary microphone and a secondary microphone are determined in order to determine an inter-microphone level difference (ILD). This ILD in combination with a noise estimate based only on a primary microphone acoustic signal allow a filter estimate to be derived. In some embodiments, the derived filter estimate may be smoothed. The filter estimate is then applied to the acoustic signal from the primary microphone to generate a speech estimate.
129 citations
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30 Jun 2008TL;DR: In this paper, the authors present a system for noise suppression using noise subtraction processing, where a desired signal component may be calculated and subtracted from the secondary acoustic signal to obtain a noise component signal.
Abstract: Systems and methods for noise suppression using noise subtraction processing are provided. The noise subtraction processing comprises receiving at least a primary and a secondary acoustic signal. A desired signal component may be calculated and subtracted from the secondary acoustic signal to obtain a noise component signal. A determination may be made of a reference energy ratio and a prediction energy ratio. A determination may be made as to whether to adjust the noise component signal based partially on the reference energy ratio and partially on the prediction energy ratio. The noise component signal may be adjusted or frozen based on the determination. The noise component signal may then be removed from the primary acoustic signal to generate a noise subtracted signal which may be outputted.
72 citations
Authors
Showing all 50 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jean Laroche | 29 | 75 | 3215 |
Carlos Avendano | 29 | 74 | 3598 |
David Klein | 19 | 37 | 2542 |
Chad G. Seguin | 16 | 26 | 1361 |
Carlo Murgia | 15 | 32 | 690 |
Ludger Solbach | 14 | 19 | 603 |
John Woodruff | 12 | 26 | 628 |
David P. Rossum | 11 | 21 | 502 |
Lloyd Watts | 11 | 15 | 276 |
A. Bernard | 10 | 21 | 310 |
Marios Athineos | 9 | 15 | 527 |
Mark Every | 9 | 14 | 442 |
Sridhar Krishna Nemala | 9 | 22 | 378 |
Ye Jiang | 8 | 11 | 211 |
Peter Santos | 8 | 9 | 251 |